Prediction of asphaltene deposition parameters in porous media using experimental data during miscible gas injection

The study of asphaltene deposition under actual field conditions is impossible. Therefore, many models have been derived based on experimental data. All models have some matching parameters, which are estimated along with numerical solving or simulation to match experimental and simulation data, so it is possible that these were estimated as required (tuning factor). In this study, two miscible CO2 injection dynamic tests in porous media were performed. In these tests, CO2 and live oil were injected into the core simultaneously. The CO2 concentration was more than the onset concentration for asphaltene precipitation. The main objective of this work was to determine the deposition coefficients from the experimental data, so these were predicted by using basic equations using the material balance. Also, by mathematical methods, the relation between these parameters was determined. Results from this work imply that the deposition parameters can be estimated from the experimental data and these parameters are not constant during modeling and simulation.